The Genetics of Racing Performance in Arabian Horses.
Abstract: Arabian horses are commonly believed to be one of the oldest and most influential horse breeds in the world. The high financial benefits obtained from races tend to search for genetic markers strongly correlated with the results achieved. To date, the modern approaches such as transcriptome, miRNAome, and metabolome analyses have been used to investigate the genetic background of racing performance as well as endurance capacity in Arabians. The analysis of polymorphisms at the genome level has also been applied to the detection of genetic variants associated with exercise phenotype in the Arabian breed. The presented review summarizes these findings, with a focus on the genetics underlying flat racing and endurance performance traits in different Arabian horse populations.
Copyright © 2019 K. Ropka-Molik et al.
Publication Date: 2019-09-02 PubMed ID: 31565654PubMed Central: PMC6745119DOI: 10.1155/2019/9013239Google Scholar: Lookup
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Summary
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This research article aims to investigate the genetic factors influencing racing performance in Arabian horses, using modern genetic approaches like transcriptome, miRNAome, and metabolome analyses. It also presents a review that summarizes findings about the genetic characteristics connected to flat racing and endurance performance traits in various Arabian horse populations.
Objective of the Study
- The primary goal of this research is to examine the genetic factors that play a substantial role in the performance of Arabian horses in races. For this purpose, the researchers used different types of analysis such as transcriptome, miRNAome, and metabolome.
- The study also aims to present a comprehensive review about the genetics that support flat racing and endurance performance traits in various Arabian horse populations.
Research Approach
- The authors utilized modern genetic analysis methods such as transcriptome analysis, which is an analysis of the set of RNA molecules in one cell or a group of cells.
- Additionally, they employed miRNAome analysis, which investigates the small non-coding RNAs involved in gene expression regulation, and metabolome analysis, studying the complete set of metabolites within a biological cell.
- Polymorphism analysis at the genome level was also used. This allows detection of genetic variants that might be associated with exercise-related phenotype in Arabian horses.
Significance of the Study
- This research study is important because it uses advanced genetic methods and analyses to understand the performance attributes of Arabian horses in sport, more specifically racing.
- The understanding of these genetic features can help in the selective breeding of the Arabian horses and can potentially maximize their performance in racing and endurance pursuits.
- Moreover, these findings can contribute to the larger body of animal genetics studies, providing more detailed insights about genetic markers strongly correlated with specific traits and performance attributes.
Cite This Article
APA
Ropka-Molik K, Stefaniuk-Szmukier M, Musiał AD, Velie BD.
(2019).
The Genetics of Racing Performance in Arabian Horses.
Int J Genomics, 2019, 9013239.
https://doi.org/10.1155/2019/9013239 Publication
Researcher Affiliations
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Poland.
- Department of Horse Breeding, Institute of Animal Science, The University of Agriculture, Krakow, Poland.
- Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Poland.
- University of Sydney, School of Life and Environmental Sciences, Sydney, Australia.
Conflict of Interest Statement
The authors declare that there is no conflict of interest regarding the publication of this paper.
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Citations
This article has been cited 2 times.- Önder H, Şen U, Piwczyński D, Kolenda M, Drewka M, Abacı SH, Takma Ç. Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses.. Animals (Basel) 2022 Sep 30;12(19).
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